May 2023 – Jul 2023 · 2 mos · Virtual · Remote

• During the AI-ML Virtual Internship with EduSkills Foundation, I completed an extensive machine learning course on AWS Academy, participated in a project guided by industry experts, and attended career workshops. I earned certifications from AWS Academy, AICTE, and gained skills in machine learning, cloud computing and data analysis.

Jan 2022 – Present · 4 yrs 2 mos

• Natural language processing. This project combines expertise in natural language processing, text analysis, and summarization techniques to develop an efficient and effective system for summarizing text based on word frequency.

Jan 2022 – Present · 4 yrs 2 mos

• Medical Inage Analysis and Machine Learning This project combines expertise in medical image analysis, machine learning and deep learning to create a model capable of accurately classifying brain tumours from MRI scans, with a focus on robustness, interpretability and ethical considerations.

Jan 2022 – Present · 4 yrs 2 mos

• Addressing Cocktail Party Problem: Through Multiple Kernal ICA based source separation. This project focus on addressing the cocktail party problem through multiple kernel Independent Component Analysis (ICA) based source separation. The cocktail party problem involves separating and extracting individual audio sources from a mixture of sounds, much like trying to isolate one conversation in a noisy room with multiple people talking.

Jan 2022 – Present · 4 yrs 2 mos

• Developed a user-friendly chatbot utilizing natural language processing and machine learning to provide personalized yoga guidance and recommendations.